Multi-Agent AI Systems with Agentic AI Frameworks

Master the next generation of AI development by learning how to build intelligent, autonomous AI agents that can plan, reason, make decisions, and complete complex programming tasks. This hands-on course is designed for software developers, programmers, computer science students, and AI enthusiasts who want to integrate Agentic AI into modern software applications.

You will begin by understanding the fundamentals of Agentic AI, including how AI agents differ from traditional automation and generative AI systems. From there, you will explore agent architectures, planning, memory, reasoning, tool usage, and multi-agent collaboration. Throughout the course, you’ll learn how to build AI-powered applications that can analyze requirements, generate code, debug programs, automate workflows, interact with APIs, and solve real-world development challenges.

The course emphasizes practical implementation using Python and popular AI development frameworks. You’ll gain experience working with Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), function calling, vector databases, and AI orchestration techniques. You’ll also learn how to integrate external tools, databases, cloud services, and APIs to create production-ready autonomous AI systems.

By the end of this course, you’ll have the knowledge and practical experience to design, develop, and deploy Agentic AI applications that enhance productivity, automate complex programming tasks, and power the next generation of intelligent software solutions. Whether you’re an experienced developer or expanding your AI skills, this course provides the tools and confidence to build innovative Agentic AI applications for real-world use.